Share Email Print

Proceedings Paper

Multimodal human verification using stereo-based 3D inforamtion, IR, and speech
Author(s): Changhan Park
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, we propose a personal verification method using 3D face information, infrared (IR), and speech to improve the rate of single biometric authentication. False acceptance rate (FAR) and false rejection rate (FRR) have been a fundamental bottleneck of real-time personal verification. Proposed method uses principal component analysis (PCA) for face recognition and hidden markov model (HMM) for speech recognition based on stereo acquisition system with IR imagery. 3D face information acquires face's depth and distance using a stereo system. The proposed system consists of eye detection, facial pose direction estimation, and PCA modules. An IR image of the human face presents its unique heat-signature and can be used for recognition. IR images use only for decision whether human face or not. It also uses fuzzy logic for the final decision of personal verification. Based on experimental results, the proposed system can reduce FAR which provides that the proposed method overcomes the limitation of single biometric system and provides stable person authentication in real-time.

Paper Details

Date Published: 30 April 2007
PDF: 10 pages
Proc. SPIE 6543, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVIII, 65431D (30 April 2007); doi: 10.1117/12.718978
Show Author Affiliations
Changhan Park, Samsung Thales Co., Ltd. (South Korea)

Published in SPIE Proceedings Vol. 6543:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVIII
Gerald C. Holst, Editor(s)

© SPIE. Terms of Use
Back to Top